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DBMS > DolphinDB vs. Microsoft Azure Data Explorer vs. QuestDB vs. Sqrrl vs. Warp 10

Vergleich der Systemeigenschaften DolphinDB vs. Microsoft Azure Data Explorer vs. QuestDB vs. Sqrrl vs. Warp 10

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDolphinDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenQuestDB  Xaus Vergleich ausschliessenSqrrl  Xaus Vergleich ausschliessenWarp 10  Xaus Vergleich ausschliessen
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
KurzbeschreibungDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Fully managed big data interactive analytics platformA high performance open source SQL database for time series dataAdaptable, secure NoSQL built on Apache AccumuloTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primäres DatenbankmodellTime Series DBMSRelational DBMS infocolumn orientedTime Series DBMSDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
Time Series DBMS
Sekundäre DatenbankmodelleRelational DBMSDocument Store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Suchmaschine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Relational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte4,23
Rang#82  Overall
#6  Time Series DBMS
Punkte5,16
Rang#69  Overall
#37  Relational DBMS
Punkte2,48
Rang#115  Overall
#9  Time Series DBMS
Punkte0,08
Rang#358  Overall
#35  Time Series DBMS
Websitewww.dolphindb.comazure.microsoft.com/­services/­data-explorerquestdb.iosqrrl.comwww.warp10.io
Technische Dokumentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.microsoft.com/­en-us/­azure/­data-explorerquestdb.io/­docswww.warp10.io/­content/­02_Getting_started
EntwicklerDolphinDB, IncMicrosoftQuestDB Technology IncAmazon infoursprünglich Sqrrl Data, Inc.SenX
Erscheinungsjahr20182019201420122015
Aktuelle Versionv2.00.4, January 2022cloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziell infofree community version availablekommerziellOpen Source infoApache 2.0kommerziellOpen Source infoApache License 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++Java (Zero-GC), C++, RustJavaJava
Server BetriebssystemeLinux
Windows
gehostetLinux
macOS
Windows
LinuxLinux
OS X
Windows
DatenschemajaFixed schema with schema-less datatypes (dynamic)ja infoschema-free via InfluxDB Line Protocolschemafreischemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinnein
Sekundärindizesjaall fields are automatically indexedneinjanein
SQL infoSupport of SQLSQL-like query languageKusto Query Language (KQL), SQL subsetSQL with time-series extensionsneinnein
APIs und andere ZugriffskonzepteJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
HTTP API
Jupyter
WebSocket
Unterstützte ProgrammiersprachenC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-seitige Scripts infoStored ProceduresjaYes, possible languages: KQL, Python, Rneinneinja infoWarpScript
Triggersneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale PartitionierungSharding infoImplicit feature of the cloud servicehorizontal partitioning (by timestamps)Sharding infoBasierend auf HadoopSharding infobasierend auf HBase
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with eventual consistencyfrei wählbarer Replikationsfaktor infobasierend auf Hadoopfrei wählbarer Replikationsfaktor infobasierend auf HBase
MapReduce infoBietet ein API für Map/Reduce OperationenjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinjanein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency infobasierend auf HBase
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenjaneinACID for single-table writesAtomic updates per row, document, or graph entitynein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja infothrough memory mapped filesja
Berechtigungskonzept infoZugriffskontrolleAdministrators, Users, GroupsAzure Active Directory AuthenticationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Mandatory use of cryptographic tokens, containing fine-grained authorizations
Weitere Informationen bereitgestellt vom Systemhersteller
DolphinDBMicrosoft Azure Data ExplorerQuestDBSqrrlWarp 10
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» mehr
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» mehr
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» mehr
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» mehr
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» mehr
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Weitere Ressourcen
DolphinDBMicrosoft Azure Data ExplorerQuestDBSqrrlWarp 10
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